Several studies have been conducted using deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs). [1]}, proposed a deep learning architecture to estimate the cognitive state using brain signals and how they are related to CS levels. Their approach is based on deep learning models, such as long short-term memory (LSTM), RNN, and CNN  [2]}, [3]}, [4]}). The models learn the individual characteristics of the participants that lead to the manifestation of CS symptoms when playing a VR game.
